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Memory and Selectivity in Evolving Scale-Free Immune Networks

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Artificial Immune Systems (ICARIS 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2787))

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Abstract

In this paper we examine the impact of graph theory and more particularly the scale-free topology on Immune Network models. In the case of a simple but not trivial model we analyze network performances as long term selectivity properties, its computational capabilities as memory capacity, and relation with Neural Networks. A more advanced Immune Network model is conceptualized and it is developed a scaffold for further mathematical investigation.

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Author information

Authors and Affiliations

  1. “L.Galvani” Interdipartimental Center for Biophysics, Bioinformatics and Biocomplexity University of Bologna, Bologna, 40100, Italy

    P. Tieri, S. Valensin, C. Franceschi & G. C. Castellani

  2. Department of Experimental Pathology, University of Bologna, Bologna, 40100, Italy

    P. Tieri, S. Valensin & C. Franceschi

  3. DIMORFIPA, University of Bologna, Ozzano E, 40100, Italy

    C. Morandi & G. C. Castellani

Authors
  1. P. Tieri
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  2. S. Valensin
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  3. C. Franceschi
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  4. C. Morandi
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  5. G. C. Castellani
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Editor information

Editors and Affiliations

  1. Department of Electronics, University of York, YO10 5DD, Heslington, York, UK

    Jon Timmis

  2. Computer Science Department, University College London, London, UK

    Peter J. Bentley

  3. Napier University, Edinburgh, Scotland

    Emma Hart

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© 2003 Springer-Verlag Berlin Heidelberg

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Tieri, P., Valensin, S., Franceschi, C., Morandi, C., Castellani, G.C. (2003). Memory and Selectivity in Evolving Scale-Free Immune Networks. In: Timmis, J., Bentley, P.J., Hart, E. (eds) Artificial Immune Systems. ICARIS 2003. Lecture Notes in Computer Science, vol 2787. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45192-1_9

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  • DOI: https://doi.org/10.1007/978-3-540-45192-1_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40766-9

  • Online ISBN: 978-3-540-45192-1

  • eBook Packages: Springer Book Archive

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